Global Maps of Potential Natural Vegetation at 1 km resolution (doi:10.7910/DVN/QQHCIK)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Global Maps of Potential Natural Vegetation at 1 km resolution

Identification Number:

doi:10.7910/DVN/QQHCIK

Distributor:

Harvard Dataverse

Date of Distribution:

2018-03-27

Version:

4

Bibliographic Citation:

Hengl, Tomislav, 2018, "Global Maps of Potential Natural Vegetation at 1 km resolution", https://doi.org/10.7910/DVN/QQHCIK, Harvard Dataverse, V4

Study Description

Citation

Title:

Global Maps of Potential Natural Vegetation at 1 km resolution

Identification Number:

doi:10.7910/DVN/QQHCIK

Authoring Entity:

Hengl, Tomislav (Envirometrix Ltd)

Software used in Production:

R

Distributor:

Harvard Dataverse

Access Authority:

Hengl, Tomislav

Depositor:

Hengl, Tomislav

Date of Deposit:

2018-03-27

Series Name:

PNV1km

Holdings Information:

https://doi.org/10.7910/DVN/QQHCIK

Study Scope

Keywords:

Computer and Information Science, Earth and Environmental Sciences, random forest, biomes, forest species, photosynthesis

Abstract:

Potential Natural Vegetation (PNV) is the vegetation cover in equilibrium with climate, that would exist at a given location non-impacted by human activities. PNV is useful for raising public awareness about land degradation and for estimating land potential. Here you can download results of predictions of (1) global distribution of biomes based on the BIOME 6000 data set (8057 modern pollen-based site reconstructions), (2) distribution of forest tree species in Europe based on detailed occurrence records (1,546,435 ground observations), and (3) global monthly Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) values (30,301 randomly-sampled points). To report an issue or artifact in maps, please use https://github.com/envirometrix/PNVmaps/issues

Kind of Data:

GeoTIFFs spatial data

Notes:

To view data please use: https://www.arcgis.com/apps/MapJournal/index.html?appid=1856322400844a7cab348bccfa4bee76

Methodology and Processing

Sources Statement

Data Sources:

- an expanded version of the BIOME 6000 DB data set representing site-based reconstructions from surface pollen samples of major vegetation types or biomes (http://dx.doi.org/10.17864/1947.99), - EU Forest (Mauri et al., 2017) and GBIF (Global Biodiversity Information Facilities) occurrence records of occurrences for the 76 main forest tree taxa in Europe (http://dx.doi.org/10.15468/dl.fhucwx), - Long-term Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) monthly images derived using a time-series of Copernicus Global Land products (https://land.copernicus.eu),

Data Access

Special Permissions:

All maps are available for download under the Open Database License (ODbl) v1.0 (https://opendatacommons.org/licenses/odbl/)

Disclaimer:

This is the v0.1 of the Global Potential Natural Vegetation maps at 1 km. This data is preliminary and errors and artifacts are still possible. Training data sets BIOME 6000 and EU Forest are constantly being updated and could still contain erroneously geolocated points. Predictions of FAPAR are based on randomly simulated points and not on ground observations of FAPAR and classification of sites. Predictions of EU forest tree species are presented for experimental purposes only.

Notes:

This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions:

Other Study Description Materials

Related Publications

Citation

Title:

Hengl T, Walsh MG, Sanderman J, Wheeler I, Harrison SP, Prentice IC. (2018) Global mapping of potential natural vegetation: an assessment of Machine Learning algorithms for estimating land potential. PeerJ Preprints 6:e26811v1

Identification Number:

10.7287/peerj.preprints.26811v1

Bibliographic Citation:

Hengl T, Walsh MG, Sanderman J, Wheeler I, Harrison SP, Prentice IC. (2018) Global mapping of potential natural vegetation: an assessment of Machine Learning algorithms for estimating land potential. PeerJ Preprints 6:e26811v1

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pnv_forest.tree.sp_eu.forest00k.larix.decidua_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.olea.europaea_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.ostrya.carpinifolia_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.picea.abies_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.picea.omorika_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.picea.sitchensis_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.cembra_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.halepensis.and.pinus.brutia_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.mugo_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.nigra_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.pinaster_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.pinea_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.pinus.sylvestris_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.populus.alba_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.populus.nigra_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.populus.tremula_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.prunus.avium_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.prunus.cerasifera_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.prunus.mahaleb_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.prunus.padus_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.prunus.spinosa_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.cerris_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.frainetto_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.ilex_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.palustris_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.pubescens_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.pyrenaica_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.robur.and.quercus.petraea_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.quercus.suber_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.robinia.pseudoacacia_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.salix.alba_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.sambucus.nigra_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

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Label:

pnv_forest.tree.sp_eu.forest00k.sorbus.aria_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.sorbus.domestica_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.sorbus.torminalis_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.tamarix.spp._p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.taxus.baccata_p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.tilia.spp._p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff

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Label:

pnv_forest.tree.sp_eu.forest00k.ulmus.spp._p_1km_s0..0cm_2000..2017_v0.1.tif

Notes:

image/tiff